Automate Marketing Initiatives with Salesforce Marketing Cloud Learn More

How to Integrate BIRT into a Web Application?

BIRT, Business Intelligence Reporting Tool has been a cornerstone for the businesses in creating intelligible reports for data analytics and subsequent decision making to drive better and enhanced business performance. However, it is not enough for businesses to get started with BIRT. While in theory, it seems an easy way out to just get started with BIRT and start running reports using its templates, it does not work that way practically. For leveraging the best capabilities of BIRT when working over a practical approach, it becomes important that the tool is well integrated with your web applications so that the functions are synced and you can work them out more intelligibly.

But how to integrate BIRT into your Web Application? This article is just the solution you are looking for.

Steps to Integrate BIRT into Your Web Application

Add Dependencies

The first step to BIRT integration is adding dependencies. This means that you have to connect the application with the existing libraries using a project builder such as Maven. Below is the code that you shall need to run for the purpose:

image4 1 1

After you have run the code, the dependency is created as per your requirements and you are good to move further with the BIRT integration process which involves configuration procedure.

Deployment Descriptor Configuration

As the dependencies are created, there is the information required to be filled in and configured with the deployment of BIRT server. There is a web.xml file where all information has to be added and configured.

Below is the list of commands, codes, and information that is required.

1. Setting the location for the working folder in BIRT, that is, the folder that shall carry all the reports.


2. Setting flag value to determine the location of the reports. Generally, the reports are available only from the working directory and the default flag value is TRUE.


3. Specifying the parameters to set up work with the URL addresses of the reports. There are several values for this which depend on the nature of the report URL.


4. Defining configuration file location.


5. Defining the areas where the print function is available, whether only on the client-side or on the server-side as well. By default the function is ON.


6. Setting flag to determine if compelling optimization for the browser in HTML is enabled or not. The default value is TRUE.


7. Specifying Class names for the reports.


8. Setting Servelet Context and HTTPSessionListener.



9. Registering and Configuring ViewerServelet and Engine Servelet.



Once done with all these things, you are finished with the configurations. All you have to do now is connect the program files and add a report template to the project. With that, you shall be finished with the BIRT integration.

Connecting Program Files

For connecting the program files, you have to start with downloading certain archives which are namely and

After this download, you can start creating your individual folders and then create a tlds directory. After that, you move on to putting files from the archive in the web application as follows:

birt.tld into /webapp/WEB-INF/tlds
erver-config.wsdd files and into /webapp/WEB-INF

Once done, this is how the content in the folders and files shall appear:


Adding Reports

Now, BIRT components are added and integrated into the web application so that the reports start displaying. You just have to put the report templates into the /webapp/report folder.

Once done, it will look like this:


After this, you can also put a link to your report in the web application and the entire report management becomes very easy.

There is yet one last thing you ought to do, that is, run the application. Do it with the following code and command.


After you run the application, your report is available to you over it.

A place for big ideas.

Reimagine organizational performance while delivering a delightful experience through optimized operations.


So, this is how BIRT integration with WordPress is done to make things easier for a practical approach and help you best leverage the tool. Hope this helps!

Top Stories

Enhancing GraphQL with Roles and Permissions
Enhancing GraphQL with Roles and Permissions
GraphQL has gained popularity due to its flexibility and efficiency in fetching data from the server. However, with great power comes great responsibility, especially when it comes to managing access to sensitive data. In this article, we'll explore how to implement roles and permissions in GraphQL APIs to ensure that
Exploring GraphQL with FastAPI A Practical Guide to begin with
Exploring GraphQL with FastAPI: A Practical Guide to begin with
GraphQL serves as a language for asking questions to APIs and as a tool for getting answers from existing data. It's like a translator that helps your application talk to databases and other systems. When you use GraphQL, you're like a detective asking for specific clues – you only get
Train tensorflow object detection model with custom data
Train Tensorflow Object Detection Model With Custom Data
In this article, we'll show you how to make your own tool that can recognize things in pictures. It's called an object detection model, and we'll use TensorFlow to teach it. We'll explain each step clearly, from gathering pictures, preparing data to telling the model what to look for in
Software Development Team
How to deploy chat completion model over EC2?
The Chat Completion model revolutionizes conversational experiences by proficiently generating responses derived from given contexts and inquiries. This innovative system harnesses the power of the Mistral-7B-Instruct-v0.2 model, renowned for its sophisticated natural language processing capabilities. The model can be accessed via Hugging Face at – on a dedicated GPU server g4dn.2xlarge,
How to deploy multilingual embedding model over EC2
How to deploy multilingual embedding model over EC2?
The multilingual embedding model represents a state-of-the-art solution designed to produce embeddings tailored explicitly for chat responses. By aligning paragraph embeddings, it ensures that the resulting replies are not only contextually relevant but also coherent. This is achieved through leveraging the advanced capabilities of the BAAI/bge-m3 model, widely recognized for
Tracking and Analyzing E commerce Performance with Odoo Analytics
Tracking and Analyzing E-commerce Performance with Odoo Analytics
Odoo is famous for its customizable nature. Businesses from around the world choose Odoo because of its scalability and modality. Regardless of the business size, Odoo can cater to the unique and diverse needs of any company. Odoo has proven its capacity and robust quality in terms of helping businesses


          Keep an eye on your inbox for the PDF, it's on its way!

          If you don't see it in your inbox, don't forget to give your junk folder a quick peek. Just in case.

              You have successfully subscribed to the newsletter

              There was an error while trying to send your request. Please try again.

              Zehntech will use the information you provide on this form to be in touch with you and to provide updates and marketing.